Hao Qian

According to our database, Hao Qian authored at least 11 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Enhancing LLM Tool Use with High-quality Instruction Data from Knowledge Graph.

Jingwei Wang, Zai Zhang, Hao Qian, Chunjing Gan, Binbin Hu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Bin Shi, Bo Dong

CoRR, June, 2025

2024

Knowledge-augmented Financial Market Analysis and Report Generation.

Yuemin Chen, Feifan Wu, Jingwei Wang, Hao Qian, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Meng Wang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

Breaking the Barrier: Utilizing Large Language Models for Industrial Recommendation Systems through an Inferential Knowledge Graph.

Qian Zhao, Hao Qian, Ziqi Liu, Gong-Duo Zhang, Lihong Gu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Factor Model-Based Large Covariance Estimation from Streaming Data Using a Knowledge-Based Sketch Matrix.

Xiao Tan, Zhaoyang Wang, Hao Qian, Jun Zhou, Peibo Duan, Dian Shen, Meng Wang, Beilun Wang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction.

Hao Qian, Hongting Zhou, Qian Zhao, Hao Chen, Hongxiang Yao, Jingwei Wang, Ziqi Liu, Fei Yu, Zhiqiang Zhang, Jun Zhou

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

EATN: An Efficient Adaptive Transfer Network for Aspect-Level Sentiment Analysis.

Kai Zhang, Qi Liu, Hao Qian, Biao Xiang, Qing Cui, Jun Zhou, Enhong Chen

IEEE Trans. Knowl. Data Eng., 2023

2022

Scope-aware Re-ranking with Gated Attention in Feed.

Hao Qian, Qintong Wu, Kai Zhang, Zhiqiang Zhang, Lihong Gu, Xiaodong Zeng, Jun Zhou, Jinjie Gu

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

FwSeqBlock: A Field-wise Approach for Modeling Behavior Representation in Sequential Recommendation.

Hao Qian, Qintong Wu, Minghao Li, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Lihong Gu, Jinjie Gu

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction.

Kai Zhang, Hao Qian, Qing Cui, Qi Liu, Longfei Li, Jun Zhou, Jianhui Ma, Enhong Chen

Proceedings of the WSDM '21, 2021

SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation.

Kai Zhang, Hao Qian, Qi Liu, Zhiqiang Zhang, Jun Zhou, Jianhui Ma, Enhong Chen

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

AutoRec: A Comprehensive Platform for Building Effective and Explainable Recommender Models.

Qing Cui, Qitao Shi, Hao Qian, Caizhi Tang, Xixi Li, Yiming Zhao, Tao Jiang, Longfei Li, Jun Zhou

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020